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Overview
Are you interested in how to use data generated by doctors, nurses, and the healthcare system to improve the care of future patients? If so, you may be a future clinical data scientist!
This Clinical Data Science Specialization offered by Coursera in partnership with University of Colorado System provides learners with hands on experience in use of electronic health records and informatics tools to perform clinical data science.
Key facts
- This series of six courses is designed to augment learner’s existing skills in statistics and programming to provide examples of specific challenges, tools, and appropriate interpretations of clinical data.
- By completing this specialization you will know how to: 1) understand electronic health record data types and structures, 2) deploy basic informatics methodologies on clinical data, 3) provide appropriate clinical and scientific interpretation of applied analyses, and 4) anticipate barriers in implementing informatics tools into complex clinical settings.
- You will demonstrate your mastery of these skills by completing practical application projects using real clinical data.
- This specialization is supported by our industry partnership with Google Cloud. Thanks to this support, all learners will have access to a fully hosted online data science computational environment for free!
- Please note that you must have access to a Google account (i.e., gmail account) to access the clinical data and computational environment.
Applied Learning Project
- Each course in the specialization culminates in a final project that is a practical application of the tools and technique you learned throughout the course.
- In these projects you will apply your skills to a real clinical data set using the free, fully hosted online data science environment provided by our industry partner, Google Cloud.
Skills you'll gain
- Data Management
- Databases
- Data Analysis
- Data Structures
- Leadership and Management
- Data Analysis Software
- SQL
Programme Structure
Courses include:
- Clinical Data Models and Data Quality Assessments
- Identifying Patient Populations
- Clinical Natural Language Processing
- Predictive Modeling and Transforming Clinical Practice
- Advanced Clinical Data Science
Key information
Duration
- Part-time
- 2 months
- Flexible
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Campus Location
- Mountain View, United States
Disciplines
Data Science & Big Data View 460 other Short Courses in Data Science & Big Data in United StatesWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Intermediate level
- Some programming experience and an interest in Clinical Data Science are required.
Tuition Fees
Additional Details
Course is free for the first 7 days. After 7 days, the course can be accessed with the Coursera Plus Subscription
Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.
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